MétaCan
Menu
Back to cohort
Record W7135814357

They didn't have to sell their shares - The rise and demise of SACBH-ABB Grain

2021· article· en· W7135814357 on OpenAlexaboutno aff
Tim; id_orcid 0000-0001-7107-7046 Mazzarol

Bibliographic record

VenueUWA Profiles and Research Repository (University of Western Australia) · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsDemiseDeregulationMerge (version control)Statutory lawStock exchangeConsolidation (business)Stock (firearms)Profit (economics)
DOInot available

Abstract

fetched live from OpenAlex

The South Australian Co-operative Bulk Handling Ltd. (SACBH) was established in 1954 and took the state’s grain industry from the laborious and inefficient use of jute bags for the handling and storage of grain, into the contemporary era of bulk handling and storage. However, changes to the national grains industry during the 1980s led to market deregulation and the corporatisation of many statutory authorities in the decades that followed. Faced with this changing environment in 2000, SACBH transformed from a co-operative into a hybrid business model, AusBulk-UGH. This comprised a public company AusBulk Ltd., which was 51% owned by the grower-owned private company United Grower Holdings (UGH). By 2004, increasing pressure from members and outside interests led the company to merge with ABB Grain Ltd., the former Australian Barley Board (ABB), which was privatised in 1999. In 2007 ABB Grain Ltd. was restructured, resulting in the loss of grower control over the business. The following year the company was publicly listed on the Australian Stock Exchange (ASX), for total of $187 million. However, in 2009 the newly listed company was acquired by Canada’s Viterra for $1.6 billion and is now owned by the Anglo-Swiss Glencore, which acquired Viterra in 2013.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0320.011

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.079
GPT teacher head0.284
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueUWA Profiles and Research Repository (University of Western Australia)Same topicCooperative Studies and EconomicsFrench-language works237,207